content: /* ===========================================================
   * JFreeChart : a free chart library for the Java(tm) platform
   * ===========================================================
   *
   * (C) Copyright 2000-2012, by Object Refinery Limited and Contributors.
   *
   * Project Info:  http://www.jfree.org/jfreechart/index.html
   *
   * This library is free software; you can redistribute it and/or modify it
   * under the terms of the GNU Lesser General Public License as published by
   * the Free Software Foundation; either version 2.1 of the License, or
   * (at your option) any later version.
   *
   * This library is distributed in the hope that it will be useful, but
   * WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
   * or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public
   * License for more details.
   *
   * You should have received a copy of the GNU Lesser General Public
   * License along with this library; if not, write to the Free Software
   * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301,
   * USA.
   *
   * [Oracle and Java are registered trademarks of Oracle and/or its affiliates. 
   * Other names may be trademarks of their respective owners.]
   *
   * -------------------------------------------
   * DefaultStatisticalCategoryDatasetTests.java
   * -------------------------------------------
   * (C) Copyright 2005-2011, by Object Refinery Limited and Contributors.
   *
   * Original Author:  David Gilbert (for Object Refinery Limited);
   * Contributor(s):   -;
   *
   * Changes
   * -------
   * 05-Feb-2005 : Version 1 (DG);
   * 03-Aug-2006 : Added testGetRangeBounds() method (DG);
   * 28-Sep-2007 : Enhanced testCloning() method (DG);
   * 02-Oct-2007 : Added new bounds tests (DG);
   * 03-Oct-2007 : Added testRemove() method (DG);
   *
   */
  
  package org.jfree.data.statistics;
  
  import org.jfree.data.Range;
  import org.jfree.data.UnknownKeyException;
  import org.junit.Test;
  
  import java.io.ByteArrayInputStream;
  import java.io.ByteArrayOutputStream;
  import java.io.IOException;
  import java.io.ObjectInput;
  import java.io.ObjectInputStream;
  import java.io.ObjectOutput;
  import java.io.ObjectOutputStream;
  
  import static org.junit.Assert.assertEquals;
  import static org.junit.Assert.assertFalse;
  import static org.junit.Assert.assertNotSame;
  import static org.junit.Assert.assertNull;
  import static org.junit.Assert.assertSame;
  import static org.junit.Assert.fail;
  
  /**
   * Tests for the {@link DefaultStatisticalCategoryDataset} class.
   */
  public class DefaultStatisticalCategoryDatasetTest  {
  
  
  
  
  
      /**
       * Some checks for the getRangeBounds() method.
       */
      @Test
      public void testGetRangeBounds() {
          DefaultStatisticalCategoryDataset d
                  = new DefaultStatisticalCategoryDataset();
  
          // an empty dataset should return null for bounds
          assertNull(d.getRangeBounds(true));
  
          // try a dataset with a single value
          d.add(4.5, 1.0, "R1", "C1");
          assertEquals(new Range(4.5, 4.5), d.getRangeBounds(false));
          assertEquals(new Range(3.5, 5.5), d.getRangeBounds(true));
  
          // try a dataset with two values
          d.add(0.5, 2.0, "R1", "C2");
          assertEquals(new Range(0.5, 4.5), d.getRangeBounds(false));
          assertEquals(new Range(-1.5, 5.5), d.getRangeBounds(true));
  
          // try a Double.NaN
          d.add(Double.NaN, 0.0, "R1", "C3");
          assertEquals(new Range(0.5, 4.5), d.getRangeBounds(false));
          assertEquals(new Range(-1.5, 5.5), d.getRangeBounds(true));
  
          // try a Double.NEGATIVE_INFINITY
          d.add(Double.NEGATIVE_INFINITY, 0.0, "R1", "C3");
          assertEquals(new Range(Double.NEGATIVE_INFINITY, 4.5),
                  d.getRangeBounds(false));
          assertEquals(new Range(Double.NEGATIVE_INFINITY, 5.5),
                  d.getRangeBounds(true));
  
          // try a Double.POSITIVE_INFINITY
          d.add(Double.POSITIVE_INFINITY, 0.0, "R1", "C3");
          assertEquals(new Range(0.5, Double.POSITIVE_INFINITY),
                  d.getRangeBounds(false));
          assertEquals(new Range(-1.5, Double.POSITIVE_INFINITY),
                  d.getRangeBounds(true));
      }
  
      /**
       * Confirm that the equals method can distinguish all the required fields.
       */
      @Test
      public void testEquals() {
          DefaultStatisticalCategoryDataset d1
                  = new DefaultStatisticalCategoryDataset();
          DefaultStatisticalCategoryDataset d2
                  = new DefaultStatisticalCategoryDataset();
          assertEquals(d1, d2);
          assertEquals(d2, d1);
  
      }
  
      /**
       * Some checks for cloning.
       */
      @Test
      public void testCloning() throws CloneNotSupportedException {
          DefaultStatisticalCategoryDataset d1
                  = new DefaultStatisticalCategoryDataset();
          d1.add(1.1, 2.2, "R1", "C1");
          d1.add(3.3, 4.4, "R1", "C2");
          d1.add(null, 5.5, "R1", "C3");
          d1.add(6.6, null, "R2", "C3");
          DefaultStatisticalCategoryDataset d2 = (DefaultStatisticalCategoryDataset) d1.clone();
          assertNotSame(d1, d2);
          assertSame(d1.getClass(), d2.getClass());
          assertEquals(d1, d2);
  
          // check independence
          d1.add(1.1, 2.2, "R3", "C1");
          assertFalse(d1.equals(d2));
      }
  
      /**
       * Check serialization of a default instance.
       */
      @Test
      public void testSerialization1() throws IOException, ClassNotFoundException {
          DefaultStatisticalCategoryDataset d1
              = new DefaultStatisticalCategoryDataset();
          d1.add(1.1, 2.2, "R1", "C1");
          d1.add(3.3, 4.4, "R1", "C2");
          d1.add(null, 5.5, "R1", "C3");
          d1.add(6.6, null, "R2", "C3");
  
              ByteArrayOutputStream buffer = new ByteArrayOutputStream();
              ObjectOutput out = new ObjectOutputStream(buffer);
              out.writeObject(d1);
              out.close();
  
              ObjectInput in = new ObjectInputStream(
                      new ByteArrayInputStream(buffer.toByteArray()));
          DefaultStatisticalCategoryDataset d2 = (DefaultStatisticalCategoryDataset) in.readObject();
              in.close();
  
          assertEquals(d1, d2);
      }
  
      /**
       * Check serialization of a more complex instance.
       */
      @Test
      public void testSerialization2() throws IOException, ClassNotFoundException {
          DefaultStatisticalCategoryDataset d1
              = new DefaultStatisticalCategoryDataset();
          d1.add(1.2, 3.4, "Row 1", "Column 1");
  
              ByteArrayOutputStream buffer = new ByteArrayOutputStream();
              ObjectOutput out = new ObjectOutputStream(buffer);
              out.writeObject(d1);
              out.close();
  
              ObjectInput in = new ObjectInputStream(
                      new ByteArrayInputStream(buffer.toByteArray()));
          DefaultStatisticalCategoryDataset d2 = (DefaultStatisticalCategoryDataset) in.readObject();
              in.close();
  
          assertEquals(d1, d2);
      }
  
      private static final double EPSILON = 0.0000000001;
  
      /**
       * Some checks for the add() method.
       */
      @Test
      public void testAdd() {
          DefaultStatisticalCategoryDataset d1
                  = new DefaultStatisticalCategoryDataset();
          d1.add(1.0, 2.0, "R1", "C1");
          assertEquals(1.0, d1.getValue("R1", "C1").doubleValue(), EPSILON);
          assertEquals(2.0, d1.getStdDevValue("R1", "C1").doubleValue(), EPSILON);
  
          // overwrite the value
          d1.add(10.0, 20.0, "R1", "C1");
          assertEquals(10.0, d1.getValue("R1", "C1").doubleValue(), EPSILON);
          assertEquals(20.0, d1.getStdDevValue("R1", "C1").doubleValue(), EPSILON);
      }
  
      /**
       * Some checks for the getRangeLowerBound() method.
       */
      @Test
      public void testGetRangeLowerBound() {
          DefaultStatisticalCategoryDataset d1
                  = new DefaultStatisticalCategoryDataset();
          d1.add(1.0, 2.0, "R1", "C1");
          assertEquals(1.0, d1.getRangeLowerBound(false), EPSILON);
          assertEquals(-1.0, d1.getRangeLowerBound(true), EPSILON);
      }
  
      /**
       * Some checks for the getRangeUpperBound() method.
       */
      @Test
      public void testGetRangeUpperBound() {
          DefaultStatisticalCategoryDataset d1
                  = new DefaultStatisticalCategoryDataset();
          d1.add(1.0, 2.0, "R1", "C1");
          assertEquals(1.0, d1.getRangeUpperBound(false), EPSILON);
          assertEquals(3.0, d1.getRangeUpperBound(true), EPSILON);
      }
  
      /**
       * Some checks for the getRangeBounds() method.
       */
      @Test
      public void testGetRangeBounds2() {
          DefaultStatisticalCategoryDataset d1
                  = new DefaultStatisticalCategoryDataset();
          d1.add(1.0, 2.0, "R1", "C1");
          assertEquals(new Range(1.0, 1.0), d1.getRangeBounds(false));
          assertEquals(new Range(-1.0, 3.0), d1.getRangeBounds(true));
  
          d1.add(10.0, 20.0, "R1", "C1");
          assertEquals(new Range(10.0, 10.0), d1.getRangeBounds(false));
          assertEquals(new Range(-10.0, 30.0), d1.getRangeBounds(true));
      }
  
      /**
       * Some checks for the remove method.
       */
      @Test
      public void testRemove() {
          DefaultStatisticalCategoryDataset data
                  = new DefaultStatisticalCategoryDataset();
  
  
          try {
              data.remove("R1", "R2");
              fail("UnknownKeyException should have been thrown on the unknown key");
          }
          catch (UnknownKeyException e) {
              assertEquals("Row key (R1) not recognised.", e.getMessage());
          }
  
          data.add(1.0, 0.5, "R1", "C1");
          assertEquals(new Range(1.0, 1.0), data.getRangeBounds(false));
          assertEquals(new Range(0.5, 1.5), data.getRangeBounds(true));
  
          data.add(1.4, 0.2, "R2", "C1");
  
          assertEquals(1.0, data.getRangeLowerBound(false), EPSILON);
          assertEquals(1.4, data.getRangeUpperBound(false), EPSILON);
          assertEquals(0.5, data.getRangeLowerBound(true), EPSILON);
          assertEquals(1.6, data.getRangeUpperBound(true), EPSILON);
  
          data.remove("R1", "C1");
  
          assertEquals(1.4, data.getRangeLowerBound(false), EPSILON);
          assertEquals(1.4, data.getRangeUpperBound(false), EPSILON);
          assertEquals(1.2, data.getRangeLowerBound(true), EPSILON);
          assertEquals(1.6, data.getRangeUpperBound(true), EPSILON);
      }
  
      /**
       * A test for bug 3072674.
       */
      @Test
      public void test3072674() {
          DefaultStatisticalCategoryDataset dataset
                  = new DefaultStatisticalCategoryDataset();
          dataset.add(1.0, Double.NaN, "R1", "C1");
          assertEquals(1.0, dataset.getRangeLowerBound(true), EPSILON);
          assertEquals(1.0, dataset.getRangeUpperBound(true), EPSILON);
          
          Range r = dataset.getRangeBounds(true);
          assertEquals(1.0, r.getLowerBound(), EPSILON);
          assertEquals(1.0, r.getUpperBound(), EPSILON);
      }
  
  
  }
  